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iFlytek SparkAgent Platform

This is a simple example of using MCP Server to invoke the task chain of the iFlytek SparkAgent Platform.

Unclaimed MIT last commit a year ago cloud
49Fair

Scored 4 months ago · breakdown

About iFlytek SparkAgent Platform

iFlytek SparkAgent Platform is an MCP server published by iflytek in the Developer Tools category: this is a simple example of using MCP Server to invoke the task chain of the iFlytek SparkAgent Platform. It has been installed 0 times through Conduid.

The repository has 3 stars and 3 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.

Install

Install
npx ifly-spark-agent-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

README

ifly-spark-agent-mcp

This is a simple example of using MCP Server to invoke the task chain of the iFlytek SparkAgent Platform.

Usage

Local debugging

Start the server using either stdio (default) or SSE transport:

# Using stdio transport (default)
uv run ifly-spark-agent-mcp

# Using SSE transport on custom port
uv run ifly-spark-agent-mcp --transport sse --port 8000

By default, the server exposes a tool named "upload_file" that accepts one required argument:

  • file: The path of the uploaded file

MCP Client Example

Using the MCP client, you can use the tool like this using the STDIO transport:

import asyncio
from mcp.client.session import ClientSession
from mcp.client.stdio import StdioServerParameters, stdio_client


async def main():
    async with stdio_client(
        StdioServerParameters(command="uv", args=["run", "ifly-spark-agent-mcp"])
    ) as (read, write):
        async with ClientSession(read, write) as session:
            await session.initialize()

            # List available tools
            tools = await session.list_tools()
            print(tools)

            # Call the upload_file tool
            result = await session.call_tool("upload_file", {"file": "/path/to/file"})
            print(result)


asyncio.run(main())

Usage with MCP client

Use on Claude

To add a persistent client, add the following to your claude_desktop_config.json or mcp.json file:

1. Use uv
{
  "mcpServers": {
    "ifly-spark-agent-mcp": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/ifly-spark-agent-mcp",
        "run",
        "ifly-spark-agent-mcp"
      ],
      "env": {
        "IFLY_SPARK_AGENT_BASE_URL": "xxxx",
        "IFLY_SPARK_AGENT_APP_ID": "xxxx",
        "IFLY_SPARK_AGENT_APP_SECRET": "xxxx"
      }
    }
  }
}
2. Use uvx with github repository
{
    "mcpServers": {
        "ifly-spark-agent-mcp": {
            "command": "uvx",
            "args": [
                "--from",
                "git+https://github.com/iflytek/ifly-spark-agent-mcp",
                "ifly-spark-agent-mcp"
            ],
            "env": {
              "IFLY_SPARK_AGENT_BASE_URL": "xxxx",
              "IFLY_SPARK_AGENT_APP_ID": "xxxx",
              "IFLY_SPARK_AGENT_APP_SECRET": "xxxx"
            }
        }
    }
}

README mirrored from the source repository 4 months ago. The original is authoritative.

Questions

About iFlytek SparkAgent Platform

How do I install iFlytek SparkAgent Platform?

Run npx ifly-spark-agent-mcp, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is iFlytek SparkAgent Platform safe to use with an AI agent?

Its trust score is 49 out of 100 (fair). It passes 0 of 1 static security checks; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is iFlytek SparkAgent Platform still maintained?

The last commit was a year ago, with 0 open issues. That's long enough that you should check whether the maintainer is responding to issues before depending on it.